




'''simple docstring'''


import logging

from transformers import PretrainedConfig


UpperCAmelCase_					=   logging.getLogger(__name__)


UpperCAmelCase_					=   {
    "bertabs-finetuned-cnndm": "https://huggingface.co/remi/bertabs-finetuned-cnndm-extractive-abstractive-summarization/resolve/main/config.json",
}





class  __lowercase    (	__magic_name__			):
   _a    						=   """bertabs"""







   def __init__(						self   ,				UpperCamelCase=3_0522   ,				UpperCamelCase=512   ,				UpperCamelCase=6   ,				UpperCamelCase=512   ,				UpperCamelCase=8   ,				UpperCamelCase=512   ,				UpperCamelCase=0.2   ,				UpperCamelCase=6   ,				UpperCamelCase=768   ,				UpperCamelCase=8   ,				UpperCamelCase=2048   ,				UpperCamelCase=0.2   ,				**UpperCamelCase   ,				)					->     int:
     super().__init__(**UpperCamelCase   )

     __a								=       vocab_size
     __a								=       max_pos

     __a								=       enc_layers
     __a								=       enc_hidden_size
     __a								=       enc_heads
     __a								=       enc_ff_size
     __a								=       enc_dropout

     __a								=       dec_layers
     __a								=       dec_hidden_size
     __a								=       dec_heads
     __a								=       dec_ff_size
     __a								=       dec_dropout









'''simple docstring'''


import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate





@dataclass(frozen=__magic_name__			)
class  __lowercase    (	__magic_name__			):
   _a    						=   field(default="""audio-classification"""							,				metadata={"""include_in_asdict_even_if_is_default""": True}			)
   _a    						=   Features({"""audio""": Audio()}			)
   _a    						=   Features({"""labels""": ClassLabel}			)
   _a    						=   "audio"
   _a    						=   "labels"







   def 		UpperCamelCase__      (						self   ,				UpperCamelCase   )					->     Dict:
     if self.label_column not in features:
       raise ValueError(f"Column {self.label_column} is not present in features."   )
     if not isinstance(features[self.label_column]   ,				UpperCamelCase   ):
       raise ValueError(f"Column {self.label_column} is not a ClassLabel."   )
     __a								=       copy.deepcopy(self   )
     __a								=       self.label_schema.copy()
     __a								=       features[self.label_column]
     __a								=       label_schema
     return task_template







   @property
   def 		UpperCamelCase__      (						self   )					->     Dict[str, str]:
     return {
         self.audio_column: "audio",
         self.label_column: "labels",
     }



